mirror of
https://github.com/open-webui/open-webui
synced 2025-02-23 05:38:41 +00:00
448 lines
14 KiB
Python
448 lines
14 KiB
Python
import time
|
|
import logging
|
|
import sys
|
|
|
|
from aiocache import cached
|
|
from typing import Any, Optional
|
|
import random
|
|
import json
|
|
import inspect
|
|
import uuid
|
|
import asyncio
|
|
|
|
from fastapi import Request, status
|
|
from starlette.responses import Response, StreamingResponse, JSONResponse
|
|
|
|
|
|
from open_webui.models.users import UserModel
|
|
|
|
from open_webui.socket.main import (
|
|
sio,
|
|
get_event_call,
|
|
get_event_emitter,
|
|
)
|
|
from open_webui.functions import generate_function_chat_completion
|
|
|
|
from open_webui.routers.openai import (
|
|
generate_chat_completion as generate_openai_chat_completion,
|
|
)
|
|
|
|
from open_webui.routers.ollama import (
|
|
generate_chat_completion as generate_ollama_chat_completion,
|
|
)
|
|
|
|
from open_webui.routers.pipelines import (
|
|
process_pipeline_inlet_filter,
|
|
process_pipeline_outlet_filter,
|
|
)
|
|
|
|
from open_webui.models.functions import Functions
|
|
from open_webui.models.models import Models
|
|
|
|
|
|
from open_webui.utils.plugin import load_function_module_by_id
|
|
from open_webui.utils.models import get_all_models, check_model_access
|
|
from open_webui.utils.payload import convert_payload_openai_to_ollama
|
|
from open_webui.utils.response import (
|
|
convert_response_ollama_to_openai,
|
|
convert_streaming_response_ollama_to_openai,
|
|
)
|
|
from open_webui.utils.filter import (
|
|
get_sorted_filter_ids,
|
|
process_filter_functions,
|
|
)
|
|
|
|
from open_webui.env import SRC_LOG_LEVELS, GLOBAL_LOG_LEVEL, BYPASS_MODEL_ACCESS_CONTROL
|
|
|
|
|
|
logging.basicConfig(stream=sys.stdout, level=GLOBAL_LOG_LEVEL)
|
|
log = logging.getLogger(__name__)
|
|
log.setLevel(SRC_LOG_LEVELS["MAIN"])
|
|
|
|
|
|
async def generate_direct_chat_completion(
|
|
request: Request,
|
|
form_data: dict,
|
|
user: Any,
|
|
models: dict,
|
|
):
|
|
print("generate_direct_chat_completion")
|
|
|
|
metadata = form_data.pop("metadata", {})
|
|
|
|
user_id = metadata.get("user_id")
|
|
session_id = metadata.get("session_id")
|
|
request_id = str(uuid.uuid4()) # Generate a unique request ID
|
|
|
|
event_caller = get_event_call(metadata)
|
|
|
|
channel = f"{user_id}:{session_id}:{request_id}"
|
|
|
|
if form_data.get("stream"):
|
|
q = asyncio.Queue()
|
|
|
|
async def message_listener(sid, data):
|
|
"""
|
|
Handle received socket messages and push them into the queue.
|
|
"""
|
|
await q.put(data)
|
|
|
|
# Register the listener
|
|
sio.on(channel, message_listener)
|
|
|
|
# Start processing chat completion in background
|
|
res = await event_caller(
|
|
{
|
|
"type": "request:chat:completion",
|
|
"data": {
|
|
"form_data": form_data,
|
|
"model": models[form_data["model"]],
|
|
"channel": channel,
|
|
"session_id": session_id,
|
|
},
|
|
}
|
|
)
|
|
|
|
print("res", res)
|
|
|
|
if res.get("status", False):
|
|
# Define a generator to stream responses
|
|
async def event_generator():
|
|
nonlocal q
|
|
try:
|
|
while True:
|
|
data = await q.get() # Wait for new messages
|
|
if isinstance(data, dict):
|
|
if "done" in data and data["done"]:
|
|
break # Stop streaming when 'done' is received
|
|
|
|
yield f"data: {json.dumps(data)}\n\n"
|
|
elif isinstance(data, str):
|
|
yield data
|
|
except Exception as e:
|
|
log.debug(f"Error in event generator: {e}")
|
|
pass
|
|
|
|
# Define a background task to run the event generator
|
|
async def background():
|
|
try:
|
|
del sio.handlers["/"][channel]
|
|
except Exception as e:
|
|
pass
|
|
|
|
# Return the streaming response
|
|
return StreamingResponse(
|
|
event_generator(), media_type="text/event-stream", background=background
|
|
)
|
|
else:
|
|
raise Exception(str(res))
|
|
else:
|
|
res = await event_caller(
|
|
{
|
|
"type": "request:chat:completion",
|
|
"data": {
|
|
"form_data": form_data,
|
|
"model": models[form_data["model"]],
|
|
"channel": channel,
|
|
"session_id": session_id,
|
|
},
|
|
}
|
|
)
|
|
|
|
if "error" in res:
|
|
raise Exception(res["error"])
|
|
|
|
return res
|
|
|
|
|
|
async def generate_chat_completion(
|
|
request: Request,
|
|
form_data: dict,
|
|
user: Any,
|
|
bypass_filter: bool = False,
|
|
):
|
|
log.debug(f"generate_chat_completion: {form_data}")
|
|
if BYPASS_MODEL_ACCESS_CONTROL:
|
|
bypass_filter = True
|
|
|
|
if hasattr(request.state, "metadata"):
|
|
if "metadata" not in form_data:
|
|
form_data["metadata"] = request.state.metadata
|
|
else:
|
|
form_data["metadata"] = {
|
|
**form_data["metadata"],
|
|
**request.state.metadata,
|
|
}
|
|
|
|
if getattr(request.state, "direct", False) and hasattr(request.state, "model"):
|
|
models = {
|
|
request.state.model["id"]: request.state.model,
|
|
}
|
|
log.debug(f"direct connection to model: {models}")
|
|
else:
|
|
models = request.app.state.MODELS
|
|
|
|
model_id = form_data["model"]
|
|
if model_id not in models:
|
|
raise Exception("Model not found")
|
|
|
|
model = models[model_id]
|
|
|
|
if getattr(request.state, "direct", False):
|
|
return await generate_direct_chat_completion(
|
|
request, form_data, user=user, models=models
|
|
)
|
|
else:
|
|
# Check if user has access to the model
|
|
if not bypass_filter and user.role == "user":
|
|
try:
|
|
check_model_access(user, model)
|
|
except Exception as e:
|
|
raise e
|
|
|
|
if model.get("owned_by") == "arena":
|
|
model_ids = model.get("info", {}).get("meta", {}).get("model_ids")
|
|
filter_mode = model.get("info", {}).get("meta", {}).get("filter_mode")
|
|
if model_ids and filter_mode == "exclude":
|
|
model_ids = [
|
|
model["id"]
|
|
for model in list(request.app.state.MODELS.values())
|
|
if model.get("owned_by") != "arena" and model["id"] not in model_ids
|
|
]
|
|
|
|
selected_model_id = None
|
|
if isinstance(model_ids, list) and model_ids:
|
|
selected_model_id = random.choice(model_ids)
|
|
else:
|
|
model_ids = [
|
|
model["id"]
|
|
for model in list(request.app.state.MODELS.values())
|
|
if model.get("owned_by") != "arena"
|
|
]
|
|
selected_model_id = random.choice(model_ids)
|
|
|
|
form_data["model"] = selected_model_id
|
|
|
|
if form_data.get("stream") == True:
|
|
|
|
async def stream_wrapper(stream):
|
|
yield f"data: {json.dumps({'selected_model_id': selected_model_id})}\n\n"
|
|
async for chunk in stream:
|
|
yield chunk
|
|
|
|
response = await generate_chat_completion(
|
|
request, form_data, user, bypass_filter=True
|
|
)
|
|
return StreamingResponse(
|
|
stream_wrapper(response.body_iterator),
|
|
media_type="text/event-stream",
|
|
background=response.background,
|
|
)
|
|
else:
|
|
return {
|
|
**(
|
|
await generate_chat_completion(
|
|
request, form_data, user, bypass_filter=True
|
|
)
|
|
),
|
|
"selected_model_id": selected_model_id,
|
|
}
|
|
|
|
if model.get("pipe"):
|
|
# Below does not require bypass_filter because this is the only route the uses this function and it is already bypassing the filter
|
|
return await generate_function_chat_completion(
|
|
request, form_data, user=user, models=models
|
|
)
|
|
if model.get("owned_by") == "ollama":
|
|
# Using /ollama/api/chat endpoint
|
|
form_data = convert_payload_openai_to_ollama(form_data)
|
|
response = await generate_ollama_chat_completion(
|
|
request=request,
|
|
form_data=form_data,
|
|
user=user,
|
|
bypass_filter=bypass_filter,
|
|
)
|
|
if form_data.get("stream"):
|
|
response.headers["content-type"] = "text/event-stream"
|
|
return StreamingResponse(
|
|
convert_streaming_response_ollama_to_openai(response),
|
|
headers=dict(response.headers),
|
|
background=response.background,
|
|
)
|
|
else:
|
|
return convert_response_ollama_to_openai(response)
|
|
else:
|
|
return await generate_openai_chat_completion(
|
|
request=request,
|
|
form_data=form_data,
|
|
user=user,
|
|
bypass_filter=bypass_filter,
|
|
)
|
|
|
|
|
|
chat_completion = generate_chat_completion
|
|
|
|
|
|
async def chat_completed(request: Request, form_data: dict, user: Any):
|
|
if not request.app.state.MODELS:
|
|
await get_all_models(request)
|
|
|
|
if getattr(request.state, "direct", False) and hasattr(request.state, "model"):
|
|
models = {
|
|
request.state.model["id"]: request.state.model,
|
|
}
|
|
else:
|
|
models = request.app.state.MODELS
|
|
|
|
data = form_data
|
|
model_id = data["model"]
|
|
if model_id not in models:
|
|
raise Exception("Model not found")
|
|
|
|
model = models[model_id]
|
|
|
|
try:
|
|
data = await process_pipeline_outlet_filter(request, data, user, models)
|
|
except Exception as e:
|
|
return Exception(f"Error: {e}")
|
|
|
|
metadata = {
|
|
"chat_id": data["chat_id"],
|
|
"message_id": data["id"],
|
|
"session_id": data["session_id"],
|
|
"user_id": user.id,
|
|
}
|
|
|
|
extra_params = {
|
|
"__event_emitter__": get_event_emitter(metadata),
|
|
"__event_call__": get_event_call(metadata),
|
|
"__user__": {
|
|
"id": user.id,
|
|
"email": user.email,
|
|
"name": user.name,
|
|
"role": user.role,
|
|
},
|
|
"__metadata__": metadata,
|
|
"__request__": request,
|
|
"__model__": model,
|
|
}
|
|
|
|
try:
|
|
result, _ = await process_filter_functions(
|
|
request=request,
|
|
filter_ids=get_sorted_filter_ids(model),
|
|
filter_type="outlet",
|
|
form_data=data,
|
|
extra_params=extra_params,
|
|
)
|
|
return result
|
|
except Exception as e:
|
|
return Exception(f"Error: {e}")
|
|
|
|
|
|
async def chat_action(request: Request, action_id: str, form_data: dict, user: Any):
|
|
if "." in action_id:
|
|
action_id, sub_action_id = action_id.split(".")
|
|
else:
|
|
sub_action_id = None
|
|
|
|
action = Functions.get_function_by_id(action_id)
|
|
if not action:
|
|
raise Exception(f"Action not found: {action_id}")
|
|
|
|
if not request.app.state.MODELS:
|
|
await get_all_models(request)
|
|
|
|
if getattr(request.state, "direct", False) and hasattr(request.state, "model"):
|
|
models = {
|
|
request.state.model["id"]: request.state.model,
|
|
}
|
|
else:
|
|
models = request.app.state.MODELS
|
|
|
|
data = form_data
|
|
model_id = data["model"]
|
|
|
|
if model_id not in models:
|
|
raise Exception("Model not found")
|
|
model = models[model_id]
|
|
|
|
__event_emitter__ = get_event_emitter(
|
|
{
|
|
"chat_id": data["chat_id"],
|
|
"message_id": data["id"],
|
|
"session_id": data["session_id"],
|
|
"user_id": user.id,
|
|
}
|
|
)
|
|
__event_call__ = get_event_call(
|
|
{
|
|
"chat_id": data["chat_id"],
|
|
"message_id": data["id"],
|
|
"session_id": data["session_id"],
|
|
"user_id": user.id,
|
|
}
|
|
)
|
|
|
|
if action_id in request.app.state.FUNCTIONS:
|
|
function_module = request.app.state.FUNCTIONS[action_id]
|
|
else:
|
|
function_module, _, _ = load_function_module_by_id(action_id)
|
|
request.app.state.FUNCTIONS[action_id] = function_module
|
|
|
|
if hasattr(function_module, "valves") and hasattr(function_module, "Valves"):
|
|
valves = Functions.get_function_valves_by_id(action_id)
|
|
function_module.valves = function_module.Valves(**(valves if valves else {}))
|
|
|
|
if hasattr(function_module, "action"):
|
|
try:
|
|
action = function_module.action
|
|
|
|
# Get the signature of the function
|
|
sig = inspect.signature(action)
|
|
params = {"body": data}
|
|
|
|
# Extra parameters to be passed to the function
|
|
extra_params = {
|
|
"__model__": model,
|
|
"__id__": sub_action_id if sub_action_id is not None else action_id,
|
|
"__event_emitter__": __event_emitter__,
|
|
"__event_call__": __event_call__,
|
|
"__request__": request,
|
|
}
|
|
|
|
# Add extra params in contained in function signature
|
|
for key, value in extra_params.items():
|
|
if key in sig.parameters:
|
|
params[key] = value
|
|
|
|
if "__user__" in sig.parameters:
|
|
__user__ = {
|
|
"id": user.id,
|
|
"email": user.email,
|
|
"name": user.name,
|
|
"role": user.role,
|
|
}
|
|
|
|
try:
|
|
if hasattr(function_module, "UserValves"):
|
|
__user__["valves"] = function_module.UserValves(
|
|
**Functions.get_user_valves_by_id_and_user_id(
|
|
action_id, user.id
|
|
)
|
|
)
|
|
except Exception as e:
|
|
print(e)
|
|
|
|
params = {**params, "__user__": __user__}
|
|
|
|
if inspect.iscoroutinefunction(action):
|
|
data = await action(**params)
|
|
else:
|
|
data = action(**params)
|
|
|
|
except Exception as e:
|
|
return Exception(f"Error: {e}")
|
|
|
|
return data
|